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plotly

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Create interactive visualizations with Plotly.

Data & Analytics#interactive#visualization#plotly#export#data-visualization#plotly-express#graph-objects
AuthorCodingKaiser
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This skill solves the challenge of building interactive Plotly visualizations.

Core Features & Use Cases

  • Express-ready charts: Quickly create scatter, line, bar, histogram, box, violin, and other common visualizations from data frames.
  • Graph Objects control: Fine-grained customization for multi-trace figures, annotations, and complex layouts.
  • Export capability: Publish figures to HTML for interactive viewing or export as PNG/SVG/PDF when Kaleido is available.

Quick Start

  • Install the library: pip install plotly
  • Import and load data: import plotly.express as px; df = ...
  • Create a basic chart: fig = px.scatter(df, x="x", y="y", color="category")
  • Display the figure: fig.show()

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: plotly
Download link: https://github.com/CodingKaiser/kaiser-skills/archive/main.zip#plotly

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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